scholarly journals Pediatric Biliary Atresia: Prenatal and Postnatal Risk Factors

2020 ◽  
Keyword(s):  
Risk Factors ◽  
Biliary Atresia ◽  
Postnatal Risk Factors

Risk factors affecting late-presenting liver failure in adult patients with biliary atresia

2012 ◽  
Vol 47 (12) ◽  
pp. 2179-2183 ◽  
Author(s):  
Masaki Nio ◽  
Motoshi Wada ◽  
Hideyuki Sasaki ◽  
Hiromu Tanaka ◽  
Atsushi Okamura
Keyword(s):  
Risk Factors ◽  
Liver Failure ◽  
Biliary Atresia ◽  
Adult Patients ◽  
Factors Affecting

scholarly journals Faktor Risiko Prenatal Perinatal Dan Postnatal Pada Kejadian Cerebral Palsy

2019 ◽  
Vol 8 (2) ◽  
pp. 204-209
Author(s):  
Bambang Trisnowiyanto ◽  
Yohanes Purwanto
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Cerebral Palsy ◽  
Postnatal Period ◽  
Spastic Diplegia ◽  
Prenatal Risk ◽  
Prenatal Risk Factors ◽  
Spastic Hemiplegia ◽  
Postnatal Risk Factors ◽  
Observational Descriptive Study

Background: Cerebral Palsy (CP) is a disability disorder motor motorization is most common in children with a prevalence of 2-3 per 1000 live births. The term CP is explained as a group of movement and posture disorders that are often accompanied by impaired sensation, perception, cognition, communication, behavior, epilepsy, and secondary disorders of the musculoskeletal system. Disorders of CP occur in the immature central nervous system with non-progressive traits occurring in the prenatal, perinatal, and postnatal period. Methods:  The purpose of this study is to determine how much prenatal risk factors, perinatal, and postnatal events in CP at the Kitty Center Clinic in Jakarta for 5 year (2013 - 2017). Result: An observational descriptive study, which described prenatal perinatal, and postnatal risk factors for CP events at the Kitty Center Clinic in Jakarta for a period of 5 years (2013-2017) with a total of 523 study subjects. Based on the analysis of data obtained, based on the type of CP 35% quadripelgia spastic, 36% spastic diplegia, 6% spastic hemiplegia, 9% athetosis, and 14% hypotonia. Based on sex 62% are men, and 38% are women with a ratio of 1.6: 1.0. Based on the age of the child 11% <2 years, 34% 3-6 years, 33% 7-12 years, and 22%13-18 years. Conclusion:  Based on risk factors of 62% prenatal, 25% perinatal, and 12% postnatal. Prenatal risk factor is the biggest risk factor as much as 62% which causes Cerebral Palsy at the Kitty Center Clinic in Jakarta.

scholarly journals Pre-, peri- and postnatal risk factors associated with gender in children with autism

2012 ◽  
Vol 5 (2) ◽  
pp. 77-90 ◽  
Author(s):  
Dary Luz Lara Correa ◽  
Oscar Utria Rodríguez ◽  
José Hernando Ávila-Toscano
Keyword(s):  
Risk Factors ◽  
Cognitive Activity ◽  
Children With Autism ◽  
Parental Relationships ◽  
Chi Square ◽  
Pregnancy And Childbirth ◽  
Prenatal Factors ◽  
Postnatal Risk Factors ◽  
Clinical Records ◽  
The Relationship

This study was undertaken in order to identify the relationship between gender of children with autism and risk factors before/during pregnancy and childbirth. An analysis of 66 clinical records was divided into two groups defined by gender of children diagnosed with autism in Bogotá (Colombia). The data were collected with the Maternal Perinatal Risk Questionnaire and analyzed with Pearson Chi square. The most significant risks associated with gender in the minors were voluntary abortions, maternal difficulties in a previous pregnancy, surgery during pregnancy, conflicting parental relationships, demanding physical and cognitive activity, consumption of drugs in the mother, duration of pregnancy and birth weight. Among men there was as many prenatal factors while among girls had an enrollment over perinatal factors (before and during labor) and psychosocial.

scholarly journals The first 1000 days of life: prenatal and postnatal risk factors for morbidity and growth in a birth cohort in southern India

BMJ Open ◽  
2014 ◽  
Vol 4 (7) ◽  
pp. e005404-e005404 ◽  
Author(s):  
D. Kattula ◽  
R. Sarkar ◽  
P. Sivarathinaswamy ◽  
V. Velusamy ◽  
S. Venugopal ◽  
...  
Keyword(s):  
Risk Factors ◽  
Birth Cohort ◽  
Southern India ◽  
Postnatal Risk Factors

Antenatal and postnatal risk factors for neonatal hypertension and infant follow-up

2007 ◽  
Vol 22 (12) ◽  
pp. 2081-2087 ◽  
Author(s):  
Wael A. Seliem ◽  
Michael C. Falk ◽  
Bruce Shadbolt ◽  
Alison L. Kent
Keyword(s):  
Risk Factors ◽  
Neonatal Hypertension ◽  
Postnatal Risk Factors

Postnatal risk factors of retinopathy of prematurity

2004 ◽  
Vol 18 (2) ◽  
pp. 130-134 ◽  
Author(s):  
Tae-im Kim ◽  
Joonhong Sohn ◽  
Soo-young Pi ◽  
Young Hee Yoon
Keyword(s):  
Risk Factors ◽  
Retinopathy Of Prematurity ◽  
Postnatal Risk Factors

Prenatal, Perinatal, and Early Postnatal Risk Factors of Childhood Asthma

Epidemiology ◽  
2011 ◽  
Vol 22 ◽  
pp. S287-S288
Author(s):  
Yang-Ching Chen ◽  
Ching-Hui Tsai ◽  
Yungling Leo Lee
Keyword(s):  
Risk Factors ◽  
Childhood Asthma ◽  
Postnatal Risk Factors

scholarly journals Validation of The DIGIROP-Birth Model in A Chinese Cohort

2021 ◽  
Author(s):  
Sizhe Chen ◽  
Rong Wu ◽  
He Chen ◽  
Wenbei Ma ◽  
Shaolin Du ◽  
...  
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Receiver Operating Characteristic ◽  
Preterm Infants ◽  
Gestational Age ◽  
Retinopathy Of Prematurity ◽  
Roc Curve ◽  
Operating Characteristic ◽  
Predictive Performance ◽  
Postnatal Risk Factors

Abstract Background We aimed to validate the predictive performance of the DIGIROP-Birth model for identifying treatment-requiring retinopathy of prematurity (TR-ROP) in Chinese preterm infants to evaluate its generalizability across countries and races. Methods We retrospectively reviewed the medical records of preterm infants who were screened for retinopathy of prematurity (ROP) in a single Chinese hospital between June 2015 and August 2020. The predictive performance of the model for TR-ROP was assessed through the construction of a receiver-operating characteristic (ROC) curve and calculating the areas under the ROC curve (AUC), sensitivity, specificity, and positive and negative predictive values. Results Four hundred and forty-two infants (mean (SD) gestational age = 28.8 (1.3) weeks; mean (SD) birth weight = 1237.0 (236.9) g; 64.7% males) were included in the study. Analyses showed that the DIGIROP-Birth model demonstrated less satisfactory performance than previously reported in identifying infants with TR-ROP, with an area under the receiver-operating characteristic curve of 0.634 (95% confidence interval = 0.564–0.705). With a cutoff value of 0.0084, the DIGIROP-Birth model showed a sensitivity of 48/93 (51.6%), which increased to 89/93 (95.7%) after modification with the addition of postnatal risk factors. In infants with a gestational age < 28 weeks or birth weight < 1000 g, the DIGIROP-Birth model exhibited sensitivities of 36/39 (92.3%) and 20/23 (87.0%), respectively. Conclusions Although the predictive performance was less satisfactory in China than in developed countries, modification of the DIGIROP-Birth model with postnatal risk factors shows promise in improving its efficacy for TR-ROP. The model may also be effective in infants with a younger gestational age or with an extremely low birth weight.

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